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Prachi Pradeep

Showing results (11-20 of 23) with videos related to

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Molecular Informatics|August 5, 2016
Novel Uses of In Vitro Data to Develop Quantitative Biological Activity Relationship Models for in Vivo Carcinogenicity PredictionPrachi Pradeep, Richard J Povinelli, Stephen J Merrill, et al.
The Science of the Total Environment|January 5, 2021
Integrating endocrine-related health effects into comparative human toxicity characterizationYasmine Emara, Peter Fantke, Richard Judson, et al.
Regulatory Toxicology and Pharmacology : RTP|May 24, 2019
Predicting estrogen receptor activation by a group of substituted phenols: An integrated approach to testing and assessment case studyFrancina Webster, Matthew Gagné, Grace Patlewicz, et al.
Toxics|February 28, 2023
A Machine Learning Model to Estimate Toxicokinetic Half-Lives of Per- and Polyfluoro-Alkyl Substances (PFAS) in Multiple SpeciesDaniel E Dawson, Christopher Lau, Prachi Pradeep, et al.
Computational Toxicology (Amsterdam, Netherlands)|January 11, 2021
Variability in <i>in vivo</i> studies: Defining the upper limit of performance for predictions of systemic effect levelsLy Ly Pham, Sean Watford, Prachi Pradeep, et al.
Frontiers in Toxicology|December 11, 2024
AI and ML-based risk assessment of chemicals: predicting carcinogenic risk from chemical-induced genomic instabilityAjay Vikram Singh, Preeti Bhardwaj, Peter Laux, et al.
Regulatory Toxicology and Pharmacology : RTP|February 1, 2017
Deriving a provisional tolerable intake for intravenous exposure to silver nanoparticles released from medical devicesLaura C Savery, René Viñas, Amber M Nagy, et al.
Computational Toxicology (Amsterdam, Netherlands)|September 10, 2021
Evaluation of Existing QSAR Models and Structural Alerts and Development of New Ensemble Models for Genotoxicity Using a Newly Compiled Experimental DatasetPrachi Pradeep, Richard Judson, David M DeMarini, et al.
Computational Toxicology (Amsterdam, Netherlands)|February 7, 2022
Integrating publicly available information to screen potential candidates for chemical prioritization under the Toxic Substances Control Act: A proof of concept case study using genotoxicity and carcinogenicityGrace Patlewicz, Jeffry L Dean, Catherine F Gibbons, et al.
Toxicology in Vitro : an International Journal Published in Association with BIBRA|September 22, 2025
Collaborative evaluation of in silico predictions for high throughput toxicokineticsJohn F Wambaugh, Nisha S Sipes, Gilberto Padilla Mercado, et al.
Pageof 3

Showing results (11-20 of 23) with videos related to

Sort By:
Pageof 3
Molecular Informatics|August 5, 2016
Novel Uses of In Vitro Data to Develop Quantitative Biological Activity Relationship Models for in Vivo Carcinogenicity PredictionPrachi Pradeep, Richard J Povinelli, Stephen J Merrill, et al.
The Science of the Total Environment|January 5, 2021
Integrating endocrine-related health effects into comparative human toxicity characterizationYasmine Emara, Peter Fantke, Richard Judson, et al.
Regulatory Toxicology and Pharmacology : RTP|May 24, 2019
Predicting estrogen receptor activation by a group of substituted phenols: An integrated approach to testing and assessment case studyFrancina Webster, Matthew Gagné, Grace Patlewicz, et al.
Toxics|February 28, 2023
A Machine Learning Model to Estimate Toxicokinetic Half-Lives of Per- and Polyfluoro-Alkyl Substances (PFAS) in Multiple SpeciesDaniel E Dawson, Christopher Lau, Prachi Pradeep, et al.
Computational Toxicology (Amsterdam, Netherlands)|January 11, 2021
Variability in <i>in vivo</i> studies: Defining the upper limit of performance for predictions of systemic effect levelsLy Ly Pham, Sean Watford, Prachi Pradeep, et al.
Frontiers in Toxicology|December 11, 2024
AI and ML-based risk assessment of chemicals: predicting carcinogenic risk from chemical-induced genomic instabilityAjay Vikram Singh, Preeti Bhardwaj, Peter Laux, et al.
Regulatory Toxicology and Pharmacology : RTP|February 1, 2017
Deriving a provisional tolerable intake for intravenous exposure to silver nanoparticles released from medical devicesLaura C Savery, René Viñas, Amber M Nagy, et al.
Computational Toxicology (Amsterdam, Netherlands)|September 10, 2021
Evaluation of Existing QSAR Models and Structural Alerts and Development of New Ensemble Models for Genotoxicity Using a Newly Compiled Experimental DatasetPrachi Pradeep, Richard Judson, David M DeMarini, et al.
Computational Toxicology (Amsterdam, Netherlands)|February 7, 2022
Integrating publicly available information to screen potential candidates for chemical prioritization under the Toxic Substances Control Act: A proof of concept case study using genotoxicity and carcinogenicityGrace Patlewicz, Jeffry L Dean, Catherine F Gibbons, et al.
Toxicology in Vitro : an International Journal Published in Association with BIBRA|September 22, 2025
Collaborative evaluation of in silico predictions for high throughput toxicokineticsJohn F Wambaugh, Nisha S Sipes, Gilberto Padilla Mercado, et al.
Pageof 3